The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sustained Reduction of Microbial Burden on Common Hospital Surfaces through Introduction of Copper
Open accessAbstract
The contribution of environmental surface contamination with pathogenic organisms to the development of health care-associated infections (HAI) has not been well defined. The microbial burden (MB) associated with commonly touched surfaces in intensive care units (ICUs) was determined by sampling six objects in 16 rooms in ICUs in three hospitals over 43 months. At month 23, copper-alloy surfaces, with inherent antimicrobial properties, were installed onto six monitored objects in 8 of 16 rooms, and the effect that this application had on the intrinsic MB present on the six objects was assessed. Census continued in rooms with and without copper for an additional 21 months. In concert with routine infection control practices, the average MB found for the six objects assessed in the clinical environment during the preintervention phase was 28 times higher (6,985 CFU/100 cm 2 ; n = 3,977 objects sampled) than levels proposed as benign immediately after terminal cleaning (<250 CFU/100 cm 2 ). During the intervention phase, the MB was found to be significantly lower for both the control and copper-surfaced objects. Copper was found to cause a significant (83%) reduction in the average MB found on the objects (465 CFU/100 cm 2 ; n = 2714 objects) compared to the controls (2,674 CFU/100 cm 2 ; n = 2,831 objects [ P < 0.0001]). The introduction of copper surfaces to objects formerly covered with plastic, wood, stainless steel, and other materials found in the patient care environment significantly reduced the overall MB on a continuous basis, thereby providing a potentially safer environment for hospital patients, health care workers (HCWs), and visitors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Noyce, J. O., Michels, H., & Keevil, C. W. (2006) · Journal of Hospital Infection · doi:10.1016/j.jhin.2005.12.008 · Cited by 403
Self-citation
Cited by
Loveday, H. P., Wilson, J. A., Pratt, R. J., Golsorkhi, M., Tingle, A., Bak, A., Browne, J., Prieto, J., & Wilcox, M. (2014) · Journal of Hospital Infection · doi:10.1016/s0195-6701(13)60012-2 · Cited by 1,621
Antimicrobial applications of copper
Vincent, M., Hartemann, P., & Engels-Deutsch, M. (2016) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2016.06.003 · Cited by 384
Antimicrobial Copper-Based Materials and Coatings: Potential Multifaceted Biomedical Applications
Mitra, D., Kang, E.-T., & Neoh, K. G. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b17815 · Cited by 322
Cleaning Hospital Room Surfaces to Prevent Health Care–Associated Infections: A Technical Brief
Han, J. H., Sullivan, N., Leas, B. F., Pegues, D. A., Kaczmarek, J. L., & Umscheid, C. A. (2015) · Annals of Internal Medicine · doi:10.7326/m15-1192 · Cited by 205
Cryptococcus neoformans copper detoxification machinery is critical for fungal virulence
Ding, C., Festa, R. A., Chen, Y.-L., Espart, A., Palacios, Ò., Espín, J., Capdevila, M., Atrian, S., Heitman, J., & Thiele, D. J. (2013) · Cell Host & Microbe · doi:10.1016/j.chom.2013.02.002 · Cited by 179
Metadata
- Authors
- Schmidt, M. G., Attaway, H. H., Sharpe, P. A., John, J., Sepkowitz, K. A., Morgan, A., Fairey, S. E., Singh, S., Steed, L. L., Cantey, J. R., Freeman, K. D., Michels, H. T., & Salgado, C. D.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2012-07
- Volume
- 50
- Issue
- 7
- Pages
- 2217-2223
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W2135479278
- Cited by
- 211
- References
- 1
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Sustained Reduction of Microbial Burden on Common Hospital Surfaces through Introduction of Copper. https://app.cochat.ai/papers/10.1128/jcm.01032-12
- The paper
- Schmidt, M. G., Attaway, H. H., Sharpe, P. A., John, J., Sepkowitz, K. A., Morgan, A., Fairey, S. E., Singh, S., Steed, L. L., Cantey, J. R., Freeman, K. D., Michels, H. T., & Salgado, C. D. (2012). Sustained Reduction of Microbial Burden on Common Hospital Surfaces through Introduction of Copper. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.01032-12
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.